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## microgpt.py
"""
The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.

@karpathy
"""

import os       # os.path.exists
import math     # math.log, math.exp

## CLAUDE.md

      
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                mksglu
                / CLAUDE.md
            
            
              Created
              February 20, 2026 09:15
            
          
    Global Rules

Git & Deployment


Never set Claude as the git author. All commits must be attributed to the user only. Do not modify user.name or user.email in git config.
Never push to remote without explicit user approval. Always ask before running git push.
Never deploy via Wrangler CLI without explicit user approval. All projects use CI/CD pipelines on GitHub — manual deploys bypass the established workflow.
Prefer TypeScript linter checks and build verification over runtime testing when validating changes.

Parallel Execution & Subagent Strategy


## VSDD.md

      
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                dollspace-gay
                / VSDD.md
            
            
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              March 1, 2026 03:12
            
              
                Verified Spec-Driven Development
              
          
    Verified Spec-Driven Development (VSDD)

The Fusion: VDD × TDD × SDD for AI-Native Engineering

Overview

Verified Spec-Driven Development (VSDD) is a unified software engineering methodology that fuses three proven paradigms into a single AI-orchestrated pipeline:

Spec-Driven Development (SDD): Define the contract before writing a single line of implementation. Specs are the source of truth.
Test-Driven Development (TDD): Tests are written before code. Red → Green → Refactor. No code exists without a failing test that demanded it.


## microgpt.py
"""
The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.

@karpathy
"""

import os       # os.path.exists
import math     # math.log, math.exp

## enable_gemini.sh
#!/bin/bash

# 定义 Chrome Local State 文件的路径
CHROME_STATE_FILE="$HOME/Library/Application Support/Google/Chrome/Local State"

echo "🚀 开始尝试强制开启 Chrome Gemini 功能..."

# 1. 安全检查：检测 Google Chrome 是否正在运行
# 如果 Chrome 没关，修改配置文件可能会被覆盖或导致错误
if pgrep "Google Chrome" > /dev/null; then

## input.cpp
#include "stdafx.h"

#include <Windows64\4JLibs\inc\4J_Input.h>
#include <Common\App_enums.h>
#include <Windows.h>

C_4JInput InputManager;


void C_4JInput::Initialise(int iInputStateC, unsigned char ucMapC, unsigned char ucActionC, unsigned char ucMenuActionC)
	"""
	The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
	This file is the complete algorithm.
	Everything else is just efficiency.

	@karpathy
	"""

	import os # os.path.exists
	import math # math.log, math.exp
	#!/bin/bash

	# 定义 Chrome Local State 文件的路径
	CHROME_STATE_FILE="$HOME/Library/Application Support/Google/Chrome/Local State"

	echo "🚀 开始尝试强制开启 Chrome Gemini 功能..."

	# 1. 安全检查：检测 Google Chrome 是否正在运行
	# 如果 Chrome 没关，修改配置文件可能会被覆盖或导致错误
	if pgrep "Google Chrome" > /dev/null; then
	#include "stdafx.h"

	#include <Windows64\4JLibs\inc\4J_Input.h>
	#include <Common\App_enums.h>
	#include <Windows.h>

	C_4JInput InputManager;


	void C_4JInput::Initialise(int iInputStateC, unsigned char ucMapC, unsigned char ucActionC, unsigned char ucMenuActionC)